39 citations · 59 across the 3 of their papers we have counts for
3 papers
cs.AI2018★ 9 cited
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
Yi Wu, Siddharth Srivastava, Nicholas Hay +2
Despite the recent successes of probabilistic programming languages (PPLs) in AI applications, PPLs offer only limited support for random variables whose distributions combine disc…
cs.AI2014★ 11 cited
Selecting Computations: Theory and Applications
Nicholas Hay, Stuart Russell, David Tolpin +1
Sequential decision problems are often approximately solvable by simulating possible future action sequences. Metalevel decision procedures have been developed for selecting which…
cs.AI2012★ 39 cited
Selecting Computations: Theory and Applications
Nicholas Hay, Stuart Russell, David Tolpin +1
Sequential decision problems are often approximately solvable by simulating possible future action sequences. {\em Metalevel} decision procedures have been developed for selecting…